architecture and requirements collaboratively Craft data models and schemas tailored to meet business objectives data architecture principles Expertise in data modelling and database design Understanding of data governance
support high performing ML algorithms, predictive models and support real-time data visualisation requirements methodology. Knowledge of retail industry data models. Advanced knowledge of compliance and IT governance Stakeholder Management. Data Architecture, Data Modelling and Data Pipelining. Solutions Architecture. ATTRIBUTES:
data
security regulations and API integrations. Craft data models and schemas tailored to meet business objectives
functions) Knowledge and experience of data warehouse modelling methodologies Experience in using MS SSIS and designing solutions and good knowledge of data modelling concepts Experience of working in a team following
and also perform test execution as required. Modelling business problems as entity relationships. Creating Adept in the use of spreadsheets. Capable of modelling information and scenario analysis. Market related
Lead Automation Engineer Location: Sandton Working Model is Hybrid Required Experience as follows: ISTQB
risk standards, performing relevant financial modelling for transaction execution, researching, analysing Services /Transaction Diligence / Valuations, Modelling & Economics /transaction advisory/ Infrastructure
BI and AI Development Life Cycles
Data, BI and AI Development Life Cycles Data modelling Solution architecture principles and artefacts : Banking systems environment Banking business model Best practices for Quality Assurance (QA) Skills